Architecture & planning
Translate workload requirements into capacity models, network topology, rack and power plans, and clear acceptance criteria.
ARCHITECTURE · CAPACITY · SOWAI INFRASTRUCTURE · SINGAPORE
From compute
capacity to
AI capability.
Full-stack engineering for AI infrastructure. From the data center to the first successful training run.
ENGINEERED FOR AIConnected at every layer.
ONE CONNECTED DELIVERY SYSTEM
Design / Build / Optimize / Operate / Enable
01 / FULL-STACK CAPABILITIES
Every layer.
One engineering vision.
Facilities, fabric, GPU clusters and software working toward one objective: sustained, usable AI compute.
Data-center engineering
Align power distribution, air and liquid cooling, rack layouts and facility monitoring with accelerator density.
POWER · COOLING · READINESSHigh-speed networking
Design InfiniBand and RoCEv2 fabrics, optimize congestion control and collective communication, and connect sites.
INFINIBAND · RoCEv2 · OTNGPU integration & tuning
Integrate hardware, firmware, storage and software. Validate the cluster and tune communication, I/O and workload performance.
DCGM · NCCL · HPLOperations & telemetry
Observe GPU, fabric, storage and jobs. Isolate faults, identify stragglers and improve cluster utilization throughout its lifecycle.
MONITOR · RESPOND · IMPROVEModel-training enablement
Prepare frameworks and containers, migrate workloads, plan distributed training and optimize checkpoints and recovery.
FRAMEWORKS · SCALING · TRAININGA CONNECTED AI STACK
From facility
to model workload.
Explore how each layer supports the next.
05
Model & workload
Training environments, framework adaptation, benchmarking and workload migration.
Turn a validated cluster into a repeatable training environment.
04
Platform & operations
Scheduling, telemetry, utilization, tenant isolation and service management.
Keep infrastructure visible, manageable and recoverable.
03
GPU cluster
Server integration, storage, diagnostics and performance engineering.
Validate compute stability and sustained workload performance.
02
High-speed fabric
InfiniBand, RoCEv2, Ethernet and wide-area connectivity.
Align topology and communication with distributed workloads.
01
Data center
Power, cooling, rack layout, M&E retrofit and operational readiness.
Build a physical foundation matched to accelerator density.
BUILT AROUND THE WORKLOAD
Installed capacity.
Real performance.
We connect disciplines often delivered by separate vendors. Each infrastructure decision supports stable operation and repeatable model training.
1,000+GPU cluster delivery experience
IB + RoCEv2Engineering across both fabrics
02 / DELIVERY FRAMEWORK
Clear stages.
Accountable outcomes.
One coordinated path from design baseline to operational ownership, with a defined output at every stage.
Initiate
Architecture review, site survey and scope of work.
Approved design baselineIntegrate
Physical build, cooling, cabling and system configuration.
Configured clusterValidate
Hardware, fabric, cluster and representative workload tests.
Validated performanceHandover
Documentation, training, reports and formal acceptance.
Operational ownership03 / ABOUT DOPLET AI
Singapore base.
Southeast Asia focus.
Doplet AI provides full-stack AI infrastructure capabilities for enterprises, data-center operators and compute-service providers.
Our engineering approach brings together facilities, networks, clusters, operations and training support. We support private deployments and managed-service models, with infrastructure designed around each customer's workloads.